基于大数据技术的静态软件缺陷检测系统设计  

Design of static software defect detection system based on big data technology

作　　者：常敏[1] CHANG Min(Henan Institute of Science and Technology,Xinxiang 453003,China)

机构地区：[1]河南科技学院,河南新乡453003

出　　处：《现代电子技术》2021年第17期37-41,共5页Modern Electronics Technique

基　　金：河南省高等教育教学改革研究与实践项目:大数据背景下的实践教学模式改革研究——基于IT职业能力培养视角(2019SJGLX361)。

摘　　要：目前的静态软件缺陷检测系统检测信号有效率低,所需检测时间较长,因此利用大数据技术设计了一种新的静态软件缺陷检测系统。对系统的硬件和软件进行设计,划分数据无源输入节点状态,数据从接线端子连接到主控系统中,设计数据采集模块,配备传导芯片,通过数据调配、数据训练和指令传达实现检测系统软件工作流程。实验结果表明,基于大数据技术的静态软件缺陷检测系统的检测信号有效率高于传统系统,能够在较短时间内实现检测,检测能力强,应用价值较高。The current static software defect detection system has low effective receiving rate of the detected signals and long detection time. Therefore,a new static software defect detection system is designed with big data technology. The hardware and software of the system are designed. The status of the data passive input node is divided. The data is transmitted to the main control system from the connection terminal. The data acquisition module is designed. A conductive chip is equipped. The software workflow of the detection system is realized by data deployment,data training and instruction transmission. The experimental results show that effective receiving rate of the detected signals of the static software defect detection system based on big data technology is more efficient than that of the traditional systems. The proposed system can achieve the detection in a shorter time and has a strong detection ability. Therefore,it has a high application value.

关 键 词：静态软件缺陷检测 大数据技术 数据连接 大数据分析 系统设计 软件工作流程 

分 类 号：TN02-34[电子电信—物理电子学] TP3[自动化与计算机技术—计算机科学与技术]